| Immediate Hire :: Contract :: Site Reliability Engineer with SOLR , Kubernetes, AWS :: Austin, TX OR Sunnyvale, CA at Austin, Texas, USA |
| Email: [email protected] |
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From: sushant kumar, KKSA [email protected] Reply to: [email protected] Role :: Site Reliability Engineer with SOLR , Kubernetes, AWS Location :: Austin, TX OR Sunnyvale, CA Contract / Fulltime Experience Level : 10 + years Apache Solr with AWS Specialist Apache Solr Specialist with expertise in AWS, Python, and Kubernetes to manage, optimize, and automate Solr infrastructure. The candidate should possess a strong understanding of distributed systems, Solr operations, and be proficient in building and managing clusters. The role also requires handling Site Reliability Engineering (SRE) tasks and working with ElasticSearch. Familiarity with Terraform, Ansible, and performance tuning is a plus. E xpertise in managing distributed storage for large datasets across multiple nodes in Solr hosted on AWS. Understanding of how data is ingested into Solr and the storage requirements for optimal performance and availability. Building and maintaining Solr search indexes, ensuring they are optimized for performance and scalability. Handling Solr operations such as managing replicas, handling failure scenarios, and restoring replicas when they go down. Managing ElasticSearch as part of the search infrastructure when necessary. Designing, building, and managing Solr clusters on AWS. Handling cluster operations such as bringing clusters back online when they go down and monitoring their health to ensure uptime and reliability. Automating the deployment and management of Solr infrastructure using Python. Ensuring smooth operation, scaling, and maintenance through automation tools and techniques. Technical Expertise Required: Core Skills - Apache Solr (50%) Strong knowledge and hands-on experience with Apache Solr, especially in distributed environments. Cluster management , replica handling, troubleshooting, and optimizing search performance. Knowledge of Solr operations, including dataset ingestion, failure handling, and restoration of replicas. AWS, Python, Kubernetes (50%) Experience with AWS services for hosting and managing Solr infrastructure. Proficiency in Python scripting to automate Solr deployments, scaling, and monitoring. Hands-on experience with Kubernetes for containerizing and orchestrating Solr deployments. Weightage: Apache Solr (50%) : Focused on search index management, cluster operations, and Solr performance. AWS + Python + Kubernetes (50%) : Cloud infrastructure, automation, and container management. Candidates should have significant experience managing Solr infrastructure on AWS and be well-versed in using automation tools like Python and Kubernetes. This role requires hands-on expertise in both Solr and AWS to deliver scalable, reliable search solutions. Keywords: golang California Texas Immediate Hire :: Contract :: Site Reliability Engineer with SOLR , Kubernetes, AWS :: Austin, TX OR Sunnyvale, CA [email protected] |
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| 11:34 PM 24-Sep-24 |